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ツール利用RAGメモリビジョン
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Eightfold vs Langdockwhich AI ops agent should you pick in 2026?
AI talent intelligence — skills-based hiring, internal mobility, and workforce planning powered by deep learning.
RAGMemoryTool use
Eightfold vs Langdock — specs
| Spec | Eightfold | Langdock |
|---|---|---|
| Agent Rank | 68 / 100 (B) | 77 / 100 (A) |
| Autonomy | Semi-autonomous | Semi-autonomous |
| Pricing | Subscription · Free tier | Subscription · from $30 |
| Open source | No | No |
| Capabilities | RAG, Memory, Tool use | Tool use, Memory, RAG, Multi-agent |
| Integrations | 3 apps | 5 apps |
| Verified | Verified | — |
| Released | Feb 2025 | Feb 2025 |
Agent Rank breakdown
Eightfold
Agent Rank
68/ 100
- 自律性
- 8
- 機能
- 6
- 連携
- 2
- 料金
- 9
- 完成度
- 6
- 検証性
- 10
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Langdock
Agent Rank
77/ 100
- 自律性
- 8
- 機能
- 8
- 連携
- 10
- 料金
- 7
- 完成度
- 7
- 検証性
- 6
自律性、機能、連携、料金、成熟度、編集部の検証を基に自動算出。デプロイごとに更新されます。 どのように算出されているか?
Pros & cons
Eightfold
メリット
- +Skills-based matching is genuinely deeper than keyword-driven ATS search
- +Strong on internal mobility — surfacing existing employees for new roles
- +Used at Fortune 500 scale (Vodafone, Bayer, Capital One)
デメリット
- −Long deployment timeline (3–6 months typical)
- −Pricing requires multi-year commitment
- −Best for companies committed to skills-first talent strategy
Langdock
メリット
- +GDPR-native — built EU-first with German data residency and strict compliance defaults
- +Multi-model BYO (Anthropic, OpenAI, Google) without lock-in
- +Strong agent builder + connector library — Glean-class but priced for European mid-market
デメリット
- −Smaller US presence and US partner ecosystem
- −Newer than Glean — fewer published US Fortune 500 case studies
- −Per-seat pricing adds up at scale (>50 users)
Pricing
Eightfold
Talent Intelligence Platform
カスタム
Mid-market and enterprise
- +Skills-based matching
- +Internal mobility
- +Workforce planning
おすすめ
Enterprise
カスタム
Large enterprises
- +Custom AI models
- +Advanced analytics
- +Dedicated CS
Langdock
Free
無料
Individuals
- +1 workspace
- +GPT-4o + Claude
- +Limited connectors
おすすめ
Pro
$30/席/月
Teams
- +Multi-model BYO
- +All connectors
- +Agent builder
Enterprise
カスタム
Large EU orgs
- +SSO + audit
- +Custom retention
- +Dedicated EU tenant
Which one should you pick?
Eightfold
Pick Eightfold if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy.
Try Eightfold →Langdock
Pick Langdock if its specific capabilities (Tool use, Memory) match what you need.
Try Langdock →Affiliate links. We may earn a commission at no extra cost to you.
Frequently asked
Should I pick Eightfold or Langdock in 2026?+
Pick Eightfold if cost is the main constraint or if you want a vendor we've verified for accessibility and pricing accuracy. Pick Langdock if its specific capabilities (Tool use, Memory) match what you need. Most working teams running both can use Eightfold for primary work and Langdock for the workflows where its specific strengths matter.
What's the price difference between Eightfold and Langdock?+
Eightfold starts at Subscription · Free tier; Langdock starts at Subscription · from $30. Eightfold is the cheaper entry option. For team deployments the TCO can differ — use the AI Agent Rank TCO calculator for your specific volume.
Which is more autonomous, Eightfold or Langdock?+
Both Eightfold and Langdock are Semi-autonomous agents — neither has a meaningful autonomy advantage over the other. The decision should hinge on capabilities and pricing instead.
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Linear 内蔵の AIエージェント — 課題のトリアージ、エンジニアリング仕様書の下書き、チケットを横断するクロスチームWorkflowの実行。
ツール利用RAGメモリ
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